Overview

Dataset statistics

Number of variables29
Number of observations90
Missing cells98
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory233.4 B

Variable types

Numeric9
Categorical20

Alerts

airdate has constant value "2020-12-08" Constant
url has a high cardinality: 90 distinct values High cardinality
name has a high cardinality: 83 distinct values High cardinality
_embedded_show_url has a high cardinality: 63 distinct values High cardinality
_embedded_show_name has a high cardinality: 63 distinct values High cardinality
_embedded_show_premiered has a high cardinality: 51 distinct values High cardinality
_embedded_show_officialSite has a high cardinality: 58 distinct values High cardinality
_embedded_show_summary has a high cardinality: 56 distinct values High cardinality
_links_self_href has a high cardinality: 90 distinct values High cardinality
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with _embedded_show_summary and 15 other fieldsHigh correlation
summary is highly correlated with url and 4 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
url is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
image is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_name is highly correlated with _embedded_show_officialSite and 16 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
name is highly correlated with url and 3 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
airtime is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
_links_self_href is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
type is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_url is highly correlated with _embedded_show_officialSite and 16 other fieldsHigh correlation
_embedded_show_language is highly correlated with url and 8 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
airstamp is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
id is highly correlated with url and 19 other fieldsHigh correlation
url is highly correlated with id and 26 other fieldsHigh correlation
name is highly correlated with id and 24 other fieldsHigh correlation
season is highly correlated with url and 13 other fieldsHigh correlation
number is highly correlated with url and 14 other fieldsHigh correlation
type is highly correlated with url and 14 other fieldsHigh correlation
airtime is highly correlated with id and 19 other fieldsHigh correlation
airstamp is highly correlated with id and 20 other fieldsHigh correlation
runtime is highly correlated with id and 20 other fieldsHigh correlation
image is highly correlated with id and 25 other fieldsHigh correlation
summary is highly correlated with url and 8 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 25 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 25 other fieldsHigh correlation
_embedded_show_type is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_genres is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_status is highly correlated with url and 14 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_ended is highly correlated with url and 17 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 25 other fieldsHigh correlation
_embedded_show_weight is highly correlated with url and 19 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with id and 14 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 25 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 18 other fieldsHigh correlation
_links_self_href is highly correlated with id and 26 other fieldsHigh correlation
number has 14 (15.6%) missing values Missing
runtime has 4 (4.4%) missing values Missing
image has 60 (66.7%) missing values Missing
_embedded_show_runtime has 18 (20.0%) missing values Missing
_embedded_show_averageRuntime has 2 (2.2%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
image is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links_self_href has unique values Unique
_embedded_show_weight has 1 (1.1%) zeros Zeros

Reproduction

Analysis started2022-05-10 02:04:11.091394
Analysis finished2022-05-10 02:04:40.272430
Duration29.18 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020922.678
Minimum1960032
Maximum2318100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:40.344131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1960032
5-th percentile1967701.8
Q11977636.25
median1983743
Q32003703.5
95-th percentile2241574.25
Maximum2318100
Range358068
Interquartile range (IQR)26067.25

Descriptive statistics

Standard deviation87957.27194
Coefficient of variation (CV)0.04352332373
Kurtosis3.697536385
Mean2020922.678
Median Absolute Deviation (MAD)6399.5
Skewness2.191271904
Sum181883041
Variance7736481687
MonotonicityNot monotonic
2022-05-09T21:04:40.460103image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19888571
 
1.1%
19849461
 
1.1%
19849441
 
1.1%
19849431
 
1.1%
19849421
 
1.1%
19849411
 
1.1%
19849401
 
1.1%
21751091
 
1.1%
19776371
 
1.1%
19776361
 
1.1%
Other values (80)80
88.9%
ValueCountFrequency (%)
19600321
1.1%
19604971
1.1%
19643321
1.1%
19645661
1.1%
19673491
1.1%
19681331
1.1%
19726041
1.1%
19735441
1.1%
19735451
1.1%
19760321
1.1%
ValueCountFrequency (%)
23181001
1.1%
23110181
1.1%
22898711
1.1%
22877861
1.1%
22431831
1.1%
22396081
1.1%
21954111
1.1%
21885831
1.1%
21761251
1.1%
21751091
1.1%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
https://www.tvmaze.com/episodes/1988857/sim-for-you-4x19-chanyeols-episode-19
 
1
https://www.tvmaze.com/episodes/1984946/dream-detective-1x07-episode-7
 
1
https://www.tvmaze.com/episodes/1984944/dream-detective-1x05-episode-5
 
1
https://www.tvmaze.com/episodes/1984943/dream-detective-1x04-episode-4
 
1
https://www.tvmaze.com/episodes/1984942/dream-detective-1x03-episode-3
 
1
Other values (85)
85 

Length

Max length152
Median length103
Mean length86.7
Min length58

Characters and Unicode

Total characters7803
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1988857/sim-for-you-4x19-chanyeols-episode-19
2nd rowhttps://www.tvmaze.com/episodes/2007748/stand-up-autsajd-1x08-vana-ilin-malenkij-princ
3rd rowhttps://www.tvmaze.com/episodes/1986870/kotiki-1x07-seria-7
4th rowhttps://www.tvmaze.com/episodes/2008028/lab-s-antonom-belaevym-2x07-lev-lesenko
5th rowhttps://www.tvmaze.com/episodes/1964566/core-sense-1x10-episode-10

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1988857/sim-for-you-4x19-chanyeols-episode-191
 
1.1%
https://www.tvmaze.com/episodes/1984946/dream-detective-1x07-episode-71
 
1.1%
https://www.tvmaze.com/episodes/1984944/dream-detective-1x05-episode-51
 
1.1%
https://www.tvmaze.com/episodes/1984943/dream-detective-1x04-episode-41
 
1.1%
https://www.tvmaze.com/episodes/1984942/dream-detective-1x03-episode-31
 
1.1%
https://www.tvmaze.com/episodes/1984941/dream-detective-1x02-episode-21
 
1.1%
https://www.tvmaze.com/episodes/1984940/dream-detective-1x01-episode-11
 
1.1%
https://www.tvmaze.com/episodes/2175109/wayward-guide-1x09-belly-of-the-beast1
 
1.1%
https://www.tvmaze.com/episodes/1977637/to-love-1x26-episode-261
 
1.1%
https://www.tvmaze.com/episodes/1977636/to-love-1x25-episode-251
 
1.1%
Other values (80)80
88.9%

Length

2022-05-09T21:04:40.588850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1988857/sim-for-you-4x19-chanyeols-episode-191
 
1.1%
https://www.tvmaze.com/episodes/1987081/how-it-should-have-ended-12x20-how-iron-man-2-should-have-ended1
 
1.1%
https://www.tvmaze.com/episodes/2008028/lab-s-antonom-belaevym-2x07-lev-lesenko1
 
1.1%
https://www.tvmaze.com/episodes/1964566/core-sense-1x10-episode-101
 
1.1%
https://www.tvmaze.com/episodes/2052507/wu-shen-zhu-zai-1x82-episode-821
 
1.1%
https://www.tvmaze.com/episodes/2096295/no-turning-back-romance-1x01-11
 
1.1%
https://www.tvmaze.com/episodes/1973544/please-wait-brother-1x23-episode-231
 
1.1%
https://www.tvmaze.com/episodes/1973545/please-wait-brother-1x24-episode-241
 
1.1%
https://www.tvmaze.com/episodes/2082173/ling-jian-zun-4x30-di130ji1
 
1.1%
https://www.tvmaze.com/episodes/2161415/mafia-nights-2x01-bazy-awl-grwh-dwm1
 
1.1%
Other values (80)80
88.9%

Most occurring characters

ValueCountFrequency (%)
e697
 
8.9%
-690
 
8.8%
t454
 
5.8%
/450
 
5.8%
s445
 
5.7%
o383
 
4.9%
w359
 
4.6%
a339
 
4.3%
i318
 
4.1%
m288
 
3.7%
Other values (30)3380
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5279
67.7%
Decimal Number1114
 
14.3%
Other Punctuation720
 
9.2%
Dash Punctuation690
 
8.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e697
13.2%
t454
 
8.6%
s445
 
8.4%
o383
 
7.3%
w359
 
6.8%
a339
 
6.4%
i318
 
6.0%
m288
 
5.5%
p274
 
5.2%
d222
 
4.2%
Other values (16)1500
28.4%
Decimal Number
ValueCountFrequency (%)
1229
20.6%
0161
14.5%
2153
13.7%
9120
10.8%
8102
9.2%
483
 
7.5%
383
 
7.5%
779
 
7.1%
660
 
5.4%
544
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/450
62.5%
.180
 
25.0%
:90
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-690
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5279
67.7%
Common2524
32.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e697
13.2%
t454
 
8.6%
s445
 
8.4%
o383
 
7.3%
w359
 
6.8%
a339
 
6.4%
i318
 
6.0%
m288
 
5.5%
p274
 
5.2%
d222
 
4.2%
Other values (16)1500
28.4%
Common
ValueCountFrequency (%)
-690
27.3%
/450
17.8%
1229
 
9.1%
.180
 
7.1%
0161
 
6.4%
2153
 
6.1%
9120
 
4.8%
8102
 
4.0%
:90
 
3.6%
483
 
3.3%
Other values (4)266
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII7803
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e697
 
8.9%
-690
 
8.8%
t454
 
5.8%
/450
 
5.8%
s445
 
5.7%
o383
 
4.9%
w359
 
4.6%
a339
 
4.3%
i318
 
4.1%
m288
 
3.7%
Other values (30)3380
43.3%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct83
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size848.0 B
Episode 7
 
2
Episode 8
 
2
Episode 2
 
2
Episode 1
 
2
Episode 5
 
2
Other values (78)
80 

Length

Max length79
Median length49.5
Mean length23.45555556
Min length1

Characters and Unicode

Total characters2111
Distinct characters127
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)84.4%

Sample

1st rowChanyeol's Episode 19
2nd rowВаня Ильин "Маленький принц"
3rd rowСерия 7
4th rowЛев Лещенко
5th rowEpisode 10

Common Values

ValueCountFrequency (%)
Episode 72
 
2.2%
Episode 82
 
2.2%
Episode 22
 
2.2%
Episode 12
 
2.2%
Episode 52
 
2.2%
Episode 262
 
2.2%
Episode 252
 
2.2%
Episode 31
 
1.1%
Belly of the Beast1
 
1.1%
The Guilty and the Beguiled1
 
1.1%
Other values (73)73
81.1%

Length

2022-05-09T21:04:40.698907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode28
 
7.1%
minute20
 
5.1%
715
 
3.8%
14
 
3.5%
in12
 
3.0%
december12
 
3.0%
part10
 
2.5%
time10
 
2.5%
real10
 
2.5%
harbor10
 
2.5%
Other values (187)255
64.4%

Most occurring characters

ValueCountFrequency (%)
305
 
14.4%
e185
 
8.8%
i114
 
5.4%
a100
 
4.7%
o85
 
4.0%
r83
 
3.9%
n75
 
3.6%
t62
 
2.9%
l58
 
2.7%
s57
 
2.7%
Other values (117)987
46.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1269
60.1%
Space Separator306
 
14.5%
Uppercase Letter269
 
12.7%
Decimal Number168
 
8.0%
Other Punctuation68
 
3.2%
Other Letter16
 
0.8%
Dash Punctuation13
 
0.6%
Open Punctuation1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e185
14.6%
i114
 
9.0%
a100
 
7.9%
o85
 
6.7%
r83
 
6.5%
n75
 
5.9%
t62
 
4.9%
l58
 
4.6%
s57
 
4.5%
d48
 
3.8%
Other values (46)402
31.7%
Uppercase Letter
ValueCountFrequency (%)
E33
12.3%
T24
 
8.9%
M24
 
8.9%
P23
 
8.6%
H22
 
8.2%
D20
 
7.4%
R17
 
6.3%
A11
 
4.1%
S10
 
3.7%
B9
 
3.3%
Other values (25)76
28.3%
Other Letter
ValueCountFrequency (%)
و3
18.8%
ا2
12.5%
1
 
6.2%
م1
 
6.2%
1
 
6.2%
د1
 
6.2%
ه1
 
6.2%
ب1
 
6.2%
ز1
 
6.2%
ی1
 
6.2%
Other values (3)3
18.8%
Decimal Number
ValueCountFrequency (%)
143
25.6%
421
12.5%
020
11.9%
220
11.9%
717
 
10.1%
914
 
8.3%
89
 
5.4%
69
 
5.4%
38
 
4.8%
57
 
4.2%
Other Punctuation
ValueCountFrequency (%)
,26
38.2%
:21
30.9%
.5
 
7.4%
&4
 
5.9%
!4
 
5.9%
"4
 
5.9%
'3
 
4.4%
?1
 
1.5%
Space Separator
ValueCountFrequency (%)
305
99.7%
 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
-13
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1395
66.1%
Common557
 
26.4%
Cyrillic143
 
6.8%
Arabic14
 
0.7%
Han2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e185
 
13.3%
i114
 
8.2%
a100
 
7.2%
o85
 
6.1%
r83
 
5.9%
n75
 
5.4%
t62
 
4.4%
l58
 
4.2%
s57
 
4.1%
d48
 
3.4%
Other values (45)528
37.8%
Cyrillic
ValueCountFrequency (%)
е15
 
10.5%
и12
 
8.4%
р11
 
7.7%
к10
 
7.0%
о10
 
7.0%
а9
 
6.3%
в7
 
4.9%
н6
 
4.2%
л6
 
4.2%
с5
 
3.5%
Other values (26)52
36.4%
Common
ValueCountFrequency (%)
305
54.8%
143
 
7.7%
,26
 
4.7%
:21
 
3.8%
421
 
3.8%
020
 
3.6%
220
 
3.6%
717
 
3.1%
914
 
2.5%
-13
 
2.3%
Other values (13)57
 
10.2%
Arabic
ValueCountFrequency (%)
و3
21.4%
ا2
14.3%
م1
 
7.1%
د1
 
7.1%
ه1
 
7.1%
ب1
 
7.1%
ز1
 
7.1%
ی1
 
7.1%
ل1
 
7.1%
گ1
 
7.1%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1942
92.0%
Cyrillic143
 
6.8%
Arabic14
 
0.7%
None10
 
0.5%
CJK2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
 
15.7%
e185
 
9.5%
i114
 
5.9%
a100
 
5.1%
o85
 
4.4%
r83
 
4.3%
n75
 
3.9%
t62
 
3.2%
l58
 
3.0%
s57
 
2.9%
Other values (60)818
42.1%
Cyrillic
ValueCountFrequency (%)
е15
 
10.5%
и12
 
8.4%
р11
 
7.7%
к10
 
7.0%
о10
 
7.0%
а9
 
6.3%
в7
 
4.9%
н6
 
4.2%
л6
 
4.2%
с5
 
3.5%
Other values (26)52
36.4%
Arabic
ValueCountFrequency (%)
و3
21.4%
ا2
14.3%
م1
 
7.1%
د1
 
7.1%
ه1
 
7.1%
ب1
 
7.1%
ز1
 
7.1%
ی1
 
7.1%
ل1
 
7.1%
گ1
 
7.1%
None
ValueCountFrequency (%)
ü2
20.0%
ö2
20.0%
ô1
10.0%
À1
10.0%
à1
10.0%
 1
10.0%
å1
10.0%
ø1
10.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

season
Real number (ℝ≥0)

HIGH CORRELATION

Distinct13
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.0111111
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:40.809063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)3

Descriptive statistics

Standard deviation637.4810241
Coefficient of variation (CV)2.808148997
Kurtosis4.43288007
Mean227.0111111
Median Absolute Deviation (MAD)1
Skewness2.516833102
Sum20431
Variance406382.0561
MonotonicityNot monotonic
2022-05-09T21:04:40.887322image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
142
46.7%
317
18.9%
202010
 
11.1%
27
 
7.8%
46
 
6.7%
101
 
1.1%
121
 
1.1%
181
 
1.1%
91
 
1.1%
81
 
1.1%
Other values (3)3
 
3.3%
ValueCountFrequency (%)
142
46.7%
27
 
7.8%
317
18.9%
46
 
6.7%
51
 
1.1%
71
 
1.1%
81
 
1.1%
91
 
1.1%
101
 
1.1%
121
 
1.1%
ValueCountFrequency (%)
202010
11.1%
311
 
1.1%
181
 
1.1%
121
 
1.1%
101
 
1.1%
91
 
1.1%
81
 
1.1%
71
 
1.1%
51
 
1.1%
46
6.7%

number
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct39
Distinct (%)51.3%
Missing14
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean35.60526316
Minimum1
Maximum335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:41.000814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median11.5
Q327
95-th percentile143.25
Maximum335
Range334
Interquartile range (IQR)22

Descriptive statistics

Standard deviation64.35072213
Coefficient of variation (CV)1.807337355
Kurtosis11.45151696
Mean35.60526316
Median Absolute Deviation (MAD)9
Skewness3.29110965
Sum2706
Variance4141.015439
MonotonicityNot monotonic
2022-05-09T21:04:41.094934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
87
 
7.8%
55
 
5.6%
75
 
5.6%
15
 
5.6%
25
 
5.6%
143
 
3.3%
33
 
3.3%
63
 
3.3%
202
 
2.2%
492
 
2.2%
Other values (29)36
40.0%
(Missing)14
 
15.6%
ValueCountFrequency (%)
15
5.6%
25
5.6%
33
3.3%
42
 
2.2%
55
5.6%
63
3.3%
75
5.6%
87
7.8%
91
 
1.1%
102
 
2.2%
ValueCountFrequency (%)
3351
1.1%
2941
1.1%
2931
1.1%
1471
1.1%
1421
1.1%
1151
1.1%
1091
1.1%
981
1.1%
971
1.1%
821
1.1%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size848.0 B
regular
76 
significant_special
12 
insignificant_special
 
2

Length

Max length21
Median length7
Mean length8.911111111
Min length7

Characters and Unicode

Total characters802
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular76
84.4%
significant_special12
 
13.3%
insignificant_special2
 
2.2%

Length

2022-05-09T21:04:41.204940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:04:41.309809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular76
84.4%
significant_special12
 
13.3%
insignificant_special2
 
2.2%

Most occurring characters

ValueCountFrequency (%)
r152
19.0%
a104
13.0%
e90
11.2%
g90
11.2%
l90
11.2%
u76
9.5%
i58
 
7.2%
n30
 
3.7%
s28
 
3.5%
c28
 
3.5%
Other values (4)56
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter788
98.3%
Connector Punctuation14
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r152
19.3%
a104
13.2%
e90
11.4%
g90
11.4%
l90
11.4%
u76
9.6%
i58
 
7.4%
n30
 
3.8%
s28
 
3.6%
c28
 
3.6%
Other values (3)42
 
5.3%
Connector Punctuation
ValueCountFrequency (%)
_14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin788
98.3%
Common14
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
r152
19.3%
a104
13.2%
e90
11.4%
g90
11.4%
l90
11.4%
u76
9.6%
i58
 
7.4%
n30
 
3.8%
s28
 
3.6%
c28
 
3.6%
Other values (3)42
 
5.3%
Common
ValueCountFrequency (%)
_14
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII802
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r152
19.0%
a104
13.0%
e90
11.2%
g90
11.2%
l90
11.2%
u76
9.5%
i58
 
7.2%
n30
 
3.7%
s28
 
3.5%
c28
 
3.5%
Other values (4)56
 
7.0%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size848.0 B
2020-12-08
90 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters900
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-08
2nd row2020-12-08
3rd row2020-12-08
4th row2020-12-08
5th row2020-12-08

Common Values

ValueCountFrequency (%)
2020-12-0890
100.0%

Length

2022-05-09T21:04:41.403552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:04:41.481651image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-0890
100.0%

Most occurring characters

ValueCountFrequency (%)
2270
30.0%
0270
30.0%
-180
20.0%
190
 
10.0%
890
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number720
80.0%
Dash Punctuation180
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2270
37.5%
0270
37.5%
190
 
12.5%
890
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2270
30.0%
0270
30.0%
-180
20.0%
190
 
10.0%
890
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2270
30.0%
0270
30.0%
-180
20.0%
190
 
10.0%
890
 
10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct13
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size848.0 B
nan
57 
20:00
17 
12:00
 
3
06:00
 
2
10:00
 
2
Other values (8)

Length

Max length5
Median length3
Mean length3.733333333
Min length3

Characters and Unicode

Total characters336
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)7.8%

Sample

1st row06:00
2nd row12:00
3rd rownan
4th rownan
5th row10:00

Common Values

ValueCountFrequency (%)
nan57
63.3%
20:0017
 
18.9%
12:003
 
3.3%
06:002
 
2.2%
10:002
 
2.2%
20:402
 
2.2%
08:001
 
1.1%
17:351
 
1.1%
07:001
 
1.1%
22:001
 
1.1%
Other values (3)3
 
3.3%

Length

2022-05-09T21:04:41.569196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan57
63.3%
20:0017
 
18.9%
12:003
 
3.3%
06:002
 
2.2%
10:002
 
2.2%
20:402
 
2.2%
08:001
 
1.1%
17:351
 
1.1%
07:001
 
1.1%
22:001
 
1.1%
Other values (3)3
 
3.3%

Most occurring characters

ValueCountFrequency (%)
n114
33.9%
087
25.9%
a57
17.0%
:33
 
9.8%
225
 
7.4%
17
 
2.1%
53
 
0.9%
62
 
0.6%
42
 
0.6%
82
 
0.6%
Other values (2)4
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter171
50.9%
Decimal Number132
39.3%
Other Punctuation33
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
087
65.9%
225
 
18.9%
17
 
5.3%
53
 
2.3%
62
 
1.5%
42
 
1.5%
82
 
1.5%
72
 
1.5%
32
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
n114
66.7%
a57
33.3%
Other Punctuation
ValueCountFrequency (%)
:33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin171
50.9%
Common165
49.1%

Most frequent character per script

Common
ValueCountFrequency (%)
087
52.7%
:33
 
20.0%
225
 
15.2%
17
 
4.2%
53
 
1.8%
62
 
1.2%
42
 
1.2%
82
 
1.2%
72
 
1.2%
32
 
1.2%
Latin
ValueCountFrequency (%)
n114
66.7%
a57
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n114
33.9%
087
25.9%
a57
17.0%
:33
 
9.8%
225
 
7.4%
17
 
2.1%
53
 
0.9%
62
 
0.6%
42
 
0.6%
82
 
0.6%
Other values (2)4
 
1.2%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct19
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size848.0 B
2020-12-08T12:00:00+00:00
61 
2020-12-08T17:00:00+00:00
 
4
2020-12-08T04:00:00+00:00
 
3
2020-12-08T00:00:00+00:00
 
3
2020-12-08T11:00:00+00:00
 
2
Other values (14)
17 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2250
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)12.2%

Sample

1st row2020-12-07T21:00:00+00:00
2nd row2020-12-08T00:00:00+00:00
3rd row2020-12-08T00:00:00+00:00
4th row2020-12-08T00:00:00+00:00
5th row2020-12-08T02:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-08T12:00:00+00:0061
67.8%
2020-12-08T17:00:00+00:004
 
4.4%
2020-12-08T04:00:00+00:003
 
3.3%
2020-12-08T00:00:00+00:003
 
3.3%
2020-12-08T11:00:00+00:002
 
2.2%
2020-12-08T02:00:00+00:002
 
2.2%
2020-12-08T19:40:00+00:002
 
2.2%
2020-12-08T09:00:00+00:002
 
2.2%
2020-12-08T13:30:00+00:001
 
1.1%
2020-12-08T19:00:00+00:001
 
1.1%
Other values (9)9
 
10.0%

Length

2022-05-09T21:04:41.663743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-08t12:00:00+00:0061
67.8%
2020-12-08t17:00:00+00:004
 
4.4%
2020-12-08t04:00:00+00:003
 
3.3%
2020-12-08t00:00:00+00:003
 
3.3%
2020-12-08t11:00:00+00:002
 
2.2%
2020-12-08t02:00:00+00:002
 
2.2%
2020-12-08t19:40:00+00:002
 
2.2%
2020-12-08t09:00:00+00:002
 
2.2%
2020-12-08t13:00:00+00:001
 
1.1%
2020-12-08t03:00:00+00:001
 
1.1%
Other values (9)9
 
10.0%

Most occurring characters

ValueCountFrequency (%)
01000
44.4%
2336
 
14.9%
:270
 
12.0%
-180
 
8.0%
1167
 
7.4%
T90
 
4.0%
+90
 
4.0%
889
 
4.0%
47
 
0.3%
36
 
0.3%
Other values (3)15
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1620
72.0%
Other Punctuation270
 
12.0%
Dash Punctuation180
 
8.0%
Uppercase Letter90
 
4.0%
Math Symbol90
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01000
61.7%
2336
 
20.7%
1167
 
10.3%
889
 
5.5%
47
 
0.4%
36
 
0.4%
75
 
0.3%
95
 
0.3%
55
 
0.3%
Other Punctuation
ValueCountFrequency (%)
:270
100.0%
Dash Punctuation
ValueCountFrequency (%)
-180
100.0%
Uppercase Letter
ValueCountFrequency (%)
T90
100.0%
Math Symbol
ValueCountFrequency (%)
+90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common2160
96.0%
Latin90
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01000
46.3%
2336
 
15.6%
:270
 
12.5%
-180
 
8.3%
1167
 
7.7%
+90
 
4.2%
889
 
4.1%
47
 
0.3%
36
 
0.3%
75
 
0.2%
Other values (2)10
 
0.5%
Latin
ValueCountFrequency (%)
T90
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01000
44.4%
2336
 
14.9%
:270
 
12.0%
-180
 
8.0%
1167
 
7.4%
T90
 
4.0%
+90
 
4.0%
889
 
4.0%
47
 
0.3%
36
 
0.3%
Other values (3)15
 
0.7%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct33
Distinct (%)38.4%
Missing4
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean34.88372093
Minimum3
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:41.744555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.25
Q120
median30
Q345
95-th percentile85.75
Maximum120
Range117
Interquartile range (IQR)25

Descriptive statistics

Standard deviation23.88670248
Coefficient of variation (CV)0.6847521378
Kurtosis4.201629852
Mean34.88372093
Median Absolute Deviation (MAD)15
Skewness1.731344296
Sum3000
Variance570.5745554
MonotonicityNot monotonic
2022-05-09T21:04:41.854416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4518
20.0%
3012
 
13.3%
265
 
5.6%
503
 
3.3%
123
 
3.3%
1203
 
3.3%
253
 
3.3%
53
 
3.3%
162
 
2.2%
312
 
2.2%
Other values (23)32
35.6%
(Missing)4
 
4.4%
ValueCountFrequency (%)
31
 
1.1%
53
3.3%
61
 
1.1%
71
 
1.1%
82
2.2%
91
 
1.1%
102
2.2%
123
3.3%
132
2.2%
141
 
1.1%
ValueCountFrequency (%)
1203
 
3.3%
902
 
2.2%
731
 
1.1%
602
 
2.2%
571
 
1.1%
503
 
3.3%
4518
20.0%
431
 
1.1%
421
 
1.1%
401
 
1.1%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct30
Distinct (%)100.0%
Missing60
Missing (%)66.7%
Memory size848.0 B
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720514.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720514.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724606.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724606.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724605.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724605.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716333.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716333.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/359/897952.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/359/897952.jpg'}
 
1
Other values (25)
25 

Length

Max length178
Median length176
Mean length176.1333333
Min length176

Characters and Unicode

Total characters5284
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737207.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737207.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726342.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726342.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/719824.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/719824.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/714315.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/714315.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/719075.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/719075.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720514.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720514.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724606.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724606.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724605.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724605.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716333.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716333.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/359/897952.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/359/897952.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717675.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717675.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009866.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009866.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/404/1012047.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/404/1012047.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/358/896917.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/358/896917.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718754.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718754.jpg'}1
 
1.1%
Other values (20)20
 
22.2%
(Missing)60
66.7%

Length

2022-05-09T21:04:42.057661image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium30
25.0%
original30
25.0%
https://static.tvmaze.com/uploads/images/original_untouched/287/718617.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720475.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/288/720475.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719829.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/287/719829.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719815.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/287/719815.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/287/718323.jpg1
 
0.8%
Other values (52)52
43.3%

Most occurring characters

ValueCountFrequency (%)
/420
 
7.9%
a360
 
6.8%
t330
 
6.2%
m300
 
5.7%
i300
 
5.7%
s270
 
5.1%
e240
 
4.5%
'240
 
4.5%
o210
 
4.0%
p210
 
4.0%
Other values (28)2404
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3540
67.0%
Other Punctuation990
 
18.7%
Decimal Number544
 
10.3%
Space Separator90
 
1.7%
Connector Punctuation60
 
1.1%
Close Punctuation30
 
0.6%
Open Punctuation30
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a360
 
10.2%
t330
 
9.3%
m300
 
8.5%
i300
 
8.5%
s270
 
7.6%
e240
 
6.8%
o210
 
5.9%
p210
 
5.9%
g180
 
5.1%
c180
 
5.1%
Other values (9)960
27.1%
Decimal Number
ValueCountFrequency (%)
7108
19.9%
894
17.3%
288
16.2%
156
10.3%
042
 
7.7%
938
 
7.0%
634
 
6.2%
530
 
5.5%
428
 
5.1%
326
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/420
42.4%
'240
24.2%
.180
18.2%
:120
 
12.1%
,30
 
3.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Connector Punctuation
ValueCountFrequency (%)
_60
100.0%
Close Punctuation
ValueCountFrequency (%)
}30
100.0%
Open Punctuation
ValueCountFrequency (%)
{30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3540
67.0%
Common1744
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/420
24.1%
'240
13.8%
.180
10.3%
:120
 
6.9%
7108
 
6.2%
894
 
5.4%
90
 
5.2%
288
 
5.0%
_60
 
3.4%
156
 
3.2%
Other values (9)288
16.5%
Latin
ValueCountFrequency (%)
a360
 
10.2%
t330
 
9.3%
m300
 
8.5%
i300
 
8.5%
s270
 
7.6%
e240
 
6.8%
o210
 
5.9%
p210
 
5.9%
g180
 
5.1%
c180
 
5.1%
Other values (9)960
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII5284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/420
 
7.9%
a360
 
6.8%
t330
 
6.2%
m300
 
5.7%
i300
 
5.7%
s270
 
5.1%
e240
 
4.5%
'240
 
4.5%
o210
 
4.0%
p210
 
4.0%
Other values (28)2404
45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct30
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size848.0 B
nan
61 
<p><b>#Camping Decoration #Did You Come Sehun?</b></p>
 
1
<p>Menacée par Lola qui lui en veut d'avoir trahi Cheyenne, Rachida sort un atout de dernière minute de sa manche.</p>
 
1
<p>Le mari de Cheyenne, Joël Barden, s'est évadé de prison. Il refuse de partir en cavale sans elle avec la BRB aux trousses.</p>
 
1
<p>At age 17, Seth was living a rock star life while supplying 15 colleges in 5 different states, with massive amounts of acid and weed until the US Marshalls set their sites on him.</p>
 
1
Other values (25)
25 

Length

Max length939
Median length3
Mean length61.45555556
Min length3

Characters and Unicode

Total characters5531
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)32.2%

Sample

1st row<p><b>#Camping Decoration #Did You Come Sehun?</b></p>
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan61
67.8%
<p><b>#Camping Decoration #Did You Come Sehun?</b></p>1
 
1.1%
<p>Menacée par Lola qui lui en veut d'avoir trahi Cheyenne, Rachida sort un atout de dernière minute de sa manche.</p>1
 
1.1%
<p>Le mari de Cheyenne, Joël Barden, s'est évadé de prison. Il refuse de partir en cavale sans elle avec la BRB aux trousses.</p>1
 
1.1%
<p>At age 17, Seth was living a rock star life while supplying 15 colleges in 5 different states, with massive amounts of acid and weed until the US Marshalls set their sites on him.</p>1
 
1.1%
<p>Big News calls Rudy Giuliani to wish him a speedy recovery while Pulitzer-winning journalist Clarence Page joins the show to discuss the Covid crisis and Trump's post-presidency plans. </p>1
 
1.1%
<p>Eric tries to move on, but fallout from the affair continues to resurface in unexpected ways.</p>1
 
1.1%
<p>After listening to the original song of 'No. 77', 'Yuki Ebana' was convinced that it was a song she sang for herself, and headed to the place where she used to live on the street, where she sang 'No. 77'. Discover the boy. The song 'No. 77' was made with the boy's singing in mind, Yuki.<br />Yuki tells her boy that their debut song is 'No. 77' made by the boy, and she takes the boy to meet her office president 'Yuichi Yanagishita'. The boy and Yanagishita will have a discussion together.<br />She returns and she tells the story to 'Ryo', 'Shiori Kato' and 'Hitoko Murakami'. Hitoko wonders if the boy is destined for Yuki. Ryo tells us that he wants to see you guys debut and play an active part as soon as possible, even if it's a human song.<br />However, the boy did not respond to Yanagishita's persuasion, and he refused to let him use his song. Ryo appeared to Yanagishita who was in trouble and said, 'Leave him to me.'</p>1
 
1.1%
<p>As she and Makoto begin dating, Kiki feels a bit shy at first but enjoys spending time with him. One day they run into Takumi and Riho while out on a date. Kiki feels awkward around Takumi but does her best to make conversation. Meanwhile, at work, she's suddenly told that she's being removed from the confectionary development team.</p>1
 
1.1%
<p>With the truth finally out in the open, Paul constructs a cockamamie plan to save the town with the help of an unexpected ally hidden in plain sight. </p>1
 
1.1%
Other values (20)20
 
22.2%

Length

2022-05-09T21:04:42.151514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan61
 
6.3%
the51
 
5.3%
to34
 
3.5%
and33
 
3.4%
a17
 
1.8%
of13
 
1.3%
in12
 
1.2%
is9
 
0.9%
with9
 
0.9%
their8
 
0.8%
Other values (504)723
74.5%

Most occurring characters

ValueCountFrequency (%)
876
15.8%
e515
 
9.3%
a416
 
7.5%
n407
 
7.4%
t352
 
6.4%
s301
 
5.4%
i289
 
5.2%
o264
 
4.8%
h207
 
3.7%
r206
 
3.7%
Other values (62)1698
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4147
75.0%
Space Separator880
 
15.9%
Other Punctuation177
 
3.2%
Uppercase Letter177
 
3.2%
Math Symbol126
 
2.3%
Decimal Number17
 
0.3%
Dash Punctuation7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e515
12.4%
a416
10.0%
n407
 
9.8%
t352
 
8.5%
s301
 
7.3%
i289
 
7.0%
o264
 
6.4%
h207
 
5.0%
r206
 
5.0%
l153
 
3.7%
Other values (19)1037
25.0%
Uppercase Letter
ValueCountFrequency (%)
T21
 
11.9%
M14
 
7.9%
A13
 
7.3%
H11
 
6.2%
I10
 
5.6%
S10
 
5.6%
Y10
 
5.6%
R8
 
4.5%
D8
 
4.5%
C7
 
4.0%
Other values (13)65
36.7%
Other Punctuation
ValueCountFrequency (%)
.51
28.8%
,39
22.0%
'36
20.3%
/33
18.6%
?9
 
5.1%
:3
 
1.7%
!3
 
1.7%
#2
 
1.1%
;1
 
0.6%
Decimal Number
ValueCountFrequency (%)
79
52.9%
13
 
17.6%
52
 
11.8%
22
 
11.8%
91
 
5.9%
Space Separator
ValueCountFrequency (%)
876
99.5%
 4
 
0.5%
Math Symbol
ValueCountFrequency (%)
<63
50.0%
>63
50.0%
Dash Punctuation
ValueCountFrequency (%)
-6
85.7%
1
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin4324
78.2%
Common1207
 
21.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e515
11.9%
a416
 
9.6%
n407
 
9.4%
t352
 
8.1%
s301
 
7.0%
i289
 
6.7%
o264
 
6.1%
h207
 
4.8%
r206
 
4.8%
l153
 
3.5%
Other values (42)1214
28.1%
Common
ValueCountFrequency (%)
876
72.6%
<63
 
5.2%
>63
 
5.2%
.51
 
4.2%
,39
 
3.2%
'36
 
3.0%
/33
 
2.7%
79
 
0.7%
?9
 
0.7%
-6
 
0.5%
Other values (10)22
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII5521
99.8%
None9
 
0.2%
Punctuation1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
876
15.9%
e515
 
9.3%
a416
 
7.5%
n407
 
7.4%
t352
 
6.4%
s301
 
5.5%
i289
 
5.2%
o264
 
4.8%
h207
 
3.7%
r206
 
3.7%
Other values (57)1688
30.6%
None
ValueCountFrequency (%)
 4
44.4%
é3
33.3%
ë1
 
11.1%
è1
 
11.1%
Punctuation
ValueCountFrequency (%)
1
100.0%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct63
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46271.58889
Minimum2504
Maximum61755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:42.261152image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2504
5-th percentile15250
Q142315.5
median50547
Q352400
95-th percentile59621.55
Maximum61755
Range59251
Interquartile range (IQR)10084.5

Descriptive statistics

Standard deviation12421.6798
Coefficient of variation (CV)0.268451551
Kurtosis3.139554201
Mean46271.58889
Median Absolute Deviation (MAD)1920
Skewness-1.870992041
Sum4164443
Variance154298129.2
MonotonicityNot monotonic
2022-05-09T21:04:42.371027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4914710
 
11.1%
524008
 
8.9%
419305
 
5.6%
501062
 
2.2%
521042
 
2.2%
521072
 
2.2%
521082
 
2.2%
520382
 
2.2%
152502
 
2.2%
521592
 
2.2%
Other values (53)53
58.9%
ValueCountFrequency (%)
25041
1.1%
64411
1.1%
133811
1.1%
133921
1.1%
152502
2.2%
176331
1.1%
179641
1.1%
262681
1.1%
306061
1.1%
320871
1.1%
ValueCountFrequency (%)
617551
1.1%
615301
1.1%
608091
1.1%
607851
1.1%
596761
1.1%
595551
1.1%
583671
1.1%
573391
1.1%
550161
1.1%
550021
1.1%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct63
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
https://www.tvmaze.com/shows/49147/world-war-two-week-by-week
10 
https://www.tvmaze.com/shows/52400/dream-detective
https://www.tvmaze.com/shows/41930/mr-iglesias
 
5
https://www.tvmaze.com/shows/50106/cheyenne-et-lola
 
2
https://www.tvmaze.com/shows/52104/twisted-fate-of-love
 
2
Other values (58)
63 

Length

Max length71
Median length57.5
Mean length51.44444444
Min length40

Characters and Unicode

Total characters4630
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)58.9%

Sample

1st rowhttps://www.tvmaze.com/shows/41648/sim-for-you
2nd rowhttps://www.tvmaze.com/shows/51065/stand-up-autsajd
3rd rowhttps://www.tvmaze.com/shows/52198/kotiki
4th rowhttps://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
5th rowhttps://www.tvmaze.com/shows/51336/core-sense

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/49147/world-war-two-week-by-week10
 
11.1%
https://www.tvmaze.com/shows/52400/dream-detective8
 
8.9%
https://www.tvmaze.com/shows/41930/mr-iglesias5
 
5.6%
https://www.tvmaze.com/shows/50106/cheyenne-et-lola2
 
2.2%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love2
 
2.2%
https://www.tvmaze.com/shows/52107/new-face2
 
2.2%
https://www.tvmaze.com/shows/52108/psych-hunter2
 
2.2%
https://www.tvmaze.com/shows/52038/please-wait-brother2
 
2.2%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
2.2%
https://www.tvmaze.com/shows/52159/to-love2
 
2.2%
Other values (53)53
58.9%

Length

2022-05-09T21:04:42.496216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/49147/world-war-two-week-by-week10
 
11.1%
https://www.tvmaze.com/shows/52400/dream-detective8
 
8.9%
https://www.tvmaze.com/shows/41930/mr-iglesias5
 
5.6%
https://www.tvmaze.com/shows/50106/cheyenne-et-lola2
 
2.2%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love2
 
2.2%
https://www.tvmaze.com/shows/52107/new-face2
 
2.2%
https://www.tvmaze.com/shows/52108/psych-hunter2
 
2.2%
https://www.tvmaze.com/shows/52038/please-wait-brother2
 
2.2%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
2.2%
https://www.tvmaze.com/shows/52159/to-love2
 
2.2%
Other values (53)53
58.9%

Most occurring characters

ValueCountFrequency (%)
/450
 
9.7%
w432
 
9.3%
t365
 
7.9%
s343
 
7.4%
o276
 
6.0%
e269
 
5.8%
h220
 
4.8%
m216
 
4.7%
a195
 
4.2%
-183
 
4.0%
Other values (29)1681
36.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3277
70.8%
Other Punctuation720
 
15.6%
Decimal Number450
 
9.7%
Dash Punctuation183
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w432
13.2%
t365
11.1%
s343
10.5%
o276
 
8.4%
e269
 
8.2%
h220
 
6.7%
m216
 
6.6%
a195
 
6.0%
c125
 
3.8%
v115
 
3.5%
Other values (15)721
22.0%
Decimal Number
ValueCountFrequency (%)
467
14.9%
565
14.4%
163
14.0%
057
12.7%
243
9.6%
339
8.7%
939
8.7%
628
6.2%
825
 
5.6%
724
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/450
62.5%
.180
 
25.0%
:90
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3277
70.8%
Common1353
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w432
13.2%
t365
11.1%
s343
10.5%
o276
 
8.4%
e269
 
8.2%
h220
 
6.7%
m216
 
6.6%
a195
 
6.0%
c125
 
3.8%
v115
 
3.5%
Other values (15)721
22.0%
Common
ValueCountFrequency (%)
/450
33.3%
-183
13.5%
.180
 
13.3%
:90
 
6.7%
467
 
5.0%
565
 
4.8%
163
 
4.7%
057
 
4.2%
243
 
3.2%
339
 
2.9%
Other values (4)116
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII4630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/450
 
9.7%
w432
 
9.3%
t365
 
7.9%
s343
 
7.4%
o276
 
6.0%
e269
 
5.8%
h220
 
4.8%
m216
 
4.7%
a195
 
4.2%
-183
 
4.0%
Other values (29)1681
36.3%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct63
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
World War Two: Week by Week
10 
Dream Detective
Mr. Iglesias
 
5
Cheyenne et Lola
 
2
Twisted Fate of Love
 
2
Other values (58)
63 

Length

Max length36
Median length26
Mean length16.75555556
Min length5

Characters and Unicode

Total characters1508
Distinct characters88
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)58.9%

Sample

1st rowSim for You
2nd rowStand Up Аутсайд
3rd rowКотики
4th rowLAB с Антоном Беляевым
5th rowCore Sense

Common Values

ValueCountFrequency (%)
World War Two: Week by Week10
 
11.1%
Dream Detective8
 
8.9%
Mr. Iglesias5
 
5.6%
Cheyenne et Lola2
 
2.2%
Twisted Fate of Love2
 
2.2%
New Face2
 
2.2%
Psych Hunter2
 
2.2%
Please Wait, Brother2
 
2.2%
The Young Turks2
 
2.2%
To Love2
 
2.2%
Other values (53)53
58.9%

Length

2022-05-09T21:04:42.605562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
week20
 
7.3%
world10
 
3.6%
two10
 
3.6%
by10
 
3.6%
war10
 
3.6%
dream8
 
2.9%
detective8
 
2.9%
mr5
 
1.8%
iglesias5
 
1.8%
the5
 
1.8%
Other values (152)183
66.8%

Most occurring characters

ValueCountFrequency (%)
184
 
12.2%
e170
 
11.3%
a85
 
5.6%
o83
 
5.5%
r75
 
5.0%
i64
 
4.2%
t61
 
4.0%
n53
 
3.5%
s51
 
3.4%
W49
 
3.2%
Other values (78)633
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1046
69.4%
Uppercase Letter251
 
16.6%
Space Separator184
 
12.2%
Other Punctuation25
 
1.7%
Decimal Number2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e170
16.3%
a85
 
8.1%
o83
 
7.9%
r75
 
7.2%
i64
 
6.1%
t61
 
5.8%
n53
 
5.1%
s51
 
4.9%
l49
 
4.7%
d34
 
3.3%
Other values (39)321
30.7%
Uppercase Letter
ValueCountFrequency (%)
W49
19.5%
T31
12.4%
D20
 
8.0%
S16
 
6.4%
M13
 
5.2%
A12
 
4.8%
F11
 
4.4%
B10
 
4.0%
L9
 
3.6%
N9
 
3.6%
Other values (19)71
28.3%
Other Punctuation
ValueCountFrequency (%)
:11
44.0%
.6
24.0%
,3
 
12.0%
'2
 
8.0%
&1
 
4.0%
?1
 
4.0%
!1
 
4.0%
Decimal Number
ValueCountFrequency (%)
01
50.0%
11
50.0%
Space Separator
ValueCountFrequency (%)
184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1228
81.4%
Common211
 
14.0%
Cyrillic69
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e170
 
13.8%
a85
 
6.9%
o83
 
6.8%
r75
 
6.1%
i64
 
5.2%
t61
 
5.0%
n53
 
4.3%
s51
 
4.2%
W49
 
4.0%
l49
 
4.0%
Other values (40)488
39.7%
Cyrillic
ValueCountFrequency (%)
о9
 
13.0%
е5
 
7.2%
р4
 
5.8%
п4
 
5.8%
с4
 
5.8%
м3
 
4.3%
в3
 
4.3%
и3
 
4.3%
т3
 
4.3%
я3
 
4.3%
Other values (18)28
40.6%
Common
ValueCountFrequency (%)
184
87.2%
:11
 
5.2%
.6
 
2.8%
,3
 
1.4%
'2
 
0.9%
01
 
0.5%
11
 
0.5%
&1
 
0.5%
?1
 
0.5%
!1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1434
95.1%
Cyrillic69
 
4.6%
None5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
 
12.8%
e170
 
11.9%
a85
 
5.9%
o83
 
5.8%
r75
 
5.2%
i64
 
4.5%
t61
 
4.3%
n53
 
3.7%
s51
 
3.6%
W49
 
3.4%
Other values (47)559
39.0%
Cyrillic
ValueCountFrequency (%)
о9
 
13.0%
е5
 
7.2%
р4
 
5.8%
п4
 
5.8%
с4
 
5.8%
м3
 
4.3%
в3
 
4.3%
и3
 
4.3%
т3
 
4.3%
я3
 
4.3%
Other values (18)28
40.6%
None
ValueCountFrequency (%)
ø3
60.0%
ş1
 
20.0%
ı1
 
20.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct9
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
Scripted
43 
Documentary
17 
Talk Show
Reality
Animation
Other values (4)
12 

Length

Max length11
Median length9
Mean length8.388888889
Min length4

Characters and Unicode

Total characters755
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st rowReality
2nd rowVariety
3rd rowScripted
4th rowDocumentary
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted43
47.8%
Documentary17
 
18.9%
Talk Show8
 
8.9%
Reality5
 
5.6%
Animation5
 
5.6%
Sports5
 
5.6%
Variety3
 
3.3%
News3
 
3.3%
Game Show1
 
1.1%

Length

2022-05-09T21:04:42.715286image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:04:42.814691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted43
43.4%
documentary17
 
17.2%
show9
 
9.1%
talk8
 
8.1%
reality5
 
5.1%
animation5
 
5.1%
sports5
 
5.1%
variety3
 
3.0%
news3
 
3.0%
game1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
t78
10.3%
e72
 
9.5%
r68
 
9.0%
i61
 
8.1%
c60
 
7.9%
S57
 
7.5%
p48
 
6.4%
d43
 
5.7%
a39
 
5.2%
o36
 
4.8%
Other values (17)193
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter647
85.7%
Uppercase Letter99
 
13.1%
Space Separator9
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t78
12.1%
e72
11.1%
r68
10.5%
i61
9.4%
c60
9.3%
p48
7.4%
d43
 
6.6%
a39
 
6.0%
o36
 
5.6%
n27
 
4.2%
Other values (8)115
17.8%
Uppercase Letter
ValueCountFrequency (%)
S57
57.6%
D17
 
17.2%
T8
 
8.1%
R5
 
5.1%
A5
 
5.1%
V3
 
3.0%
N3
 
3.0%
G1
 
1.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin746
98.8%
Common9
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t78
10.5%
e72
 
9.7%
r68
 
9.1%
i61
 
8.2%
c60
 
8.0%
S57
 
7.6%
p48
 
6.4%
d43
 
5.8%
a39
 
5.2%
o36
 
4.8%
Other values (16)184
24.7%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII755
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t78
10.3%
e72
 
9.5%
r68
 
9.0%
i61
 
8.1%
c60
 
7.9%
S57
 
7.5%
p48
 
6.4%
d43
 
5.7%
a39
 
5.2%
o36
 
4.8%
Other values (17)193
25.6%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct14
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size848.0 B
English
41 
Chinese
21 
Russian
Norwegian
 
4
Korean
 
3
Other values (9)
13 

Length

Max length10
Median length7
Mean length7
Min length3

Characters and Unicode

Total characters630
Distinct characters28
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)5.6%

Sample

1st rowKorean
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowChinese

Common Values

ValueCountFrequency (%)
English41
45.6%
Chinese21
23.3%
Russian8
 
8.9%
Norwegian4
 
4.4%
Korean3
 
3.3%
Turkish2
 
2.2%
Arabic2
 
2.2%
Japanese2
 
2.2%
French2
 
2.2%
Persian1
 
1.1%
Other values (4)4
 
4.4%

Length

2022-05-09T21:04:42.953085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english41
45.6%
chinese21
23.3%
russian8
 
8.9%
norwegian4
 
4.4%
korean3
 
3.3%
turkish2
 
2.2%
arabic2
 
2.2%
japanese2
 
2.2%
french2
 
2.2%
persian1
 
1.1%
Other values (4)4
 
4.4%

Most occurring characters

ValueCountFrequency (%)
s84
13.3%
n84
13.3%
i79
12.5%
h67
10.6%
e58
9.2%
g48
7.6%
l42
6.7%
E41
6.5%
a25
 
4.0%
C21
 
3.3%
Other values (18)81
12.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter541
85.9%
Uppercase Letter89
 
14.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s84
15.5%
n84
15.5%
i79
14.6%
h67
12.4%
e58
10.7%
g48
8.9%
l42
7.8%
a25
 
4.6%
r15
 
2.8%
u13
 
2.4%
Other values (7)26
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
E41
46.1%
C21
23.6%
R8
 
9.0%
N4
 
4.5%
K3
 
3.4%
T3
 
3.4%
P2
 
2.2%
F2
 
2.2%
A2
 
2.2%
J2
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Latin630
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s84
13.3%
n84
13.3%
i79
12.5%
h67
10.6%
e58
9.2%
g48
7.6%
l42
6.7%
E41
6.5%
a25
 
4.0%
C21
 
3.3%
Other values (18)81
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s84
13.3%
n84
13.3%
i79
12.5%
h67
10.6%
e58
9.2%
g48
7.6%
l42
6.7%
E41
6.5%
a25
 
4.0%
C21
 
3.3%
Other values (18)81
12.9%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct30
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size848.0 B
[]
25 
['Comedy']
13 
['War', 'History']
10 
['Drama', 'Fantasy', 'Mystery']
['Drama', 'Comedy', 'Crime']
 
2
Other values (25)
32 

Length

Max length43
Median length36
Mean length16.06666667
Min length2

Characters and Unicode

Total characters1446
Distinct characters36
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)20.0%

Sample

1st row[]
2nd row[]
3rd row['Comedy']
4th row['Music']
5th row['Action', 'Anime', 'Science-Fiction']

Common Values

ValueCountFrequency (%)
[]25
27.8%
['Comedy']13
14.4%
['War', 'History']10
 
11.1%
['Drama', 'Fantasy', 'Mystery']8
 
8.9%
['Drama', 'Comedy', 'Crime']2
 
2.2%
['Drama', 'Romance']2
 
2.2%
['Crime', 'Thriller', 'Mystery']2
 
2.2%
['Action', 'Crime', 'Thriller']2
 
2.2%
['Drama', 'Romance', 'History']2
 
2.2%
['Drama', 'Thriller', 'Mystery']2
 
2.2%
Other values (20)22
24.4%

Length

2022-05-09T21:04:43.047259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
25
15.3%
drama24
14.7%
comedy19
11.7%
mystery13
8.0%
history12
 
7.4%
war10
 
6.1%
fantasy10
 
6.1%
crime8
 
4.9%
romance6
 
3.7%
thriller6
 
3.7%
Other values (14)30
18.4%

Most occurring characters

ValueCountFrequency (%)
'276
19.1%
a91
 
6.3%
r91
 
6.3%
[90
 
6.2%
]90
 
6.2%
73
 
5.0%
,73
 
5.0%
e71
 
4.9%
y68
 
4.7%
m61
 
4.2%
Other values (26)462
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter702
48.5%
Other Punctuation349
24.1%
Uppercase Letter140
 
9.7%
Open Punctuation90
 
6.2%
Close Punctuation90
 
6.2%
Space Separator73
 
5.0%
Dash Punctuation2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a91
13.0%
r91
13.0%
e71
10.1%
y68
9.7%
m61
8.7%
o51
7.3%
t49
7.0%
i49
7.0%
s42
6.0%
n34
 
4.8%
Other values (8)95
13.5%
Uppercase Letter
ValueCountFrequency (%)
C30
21.4%
D24
17.1%
M18
12.9%
F15
10.7%
H12
 
8.6%
A10
 
7.1%
W10
 
7.1%
T7
 
5.0%
R6
 
4.3%
S6
 
4.3%
Other values (2)2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
'276
79.1%
,73
 
20.9%
Open Punctuation
ValueCountFrequency (%)
[90
100.0%
Close Punctuation
ValueCountFrequency (%)
]90
100.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
-2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin842
58.2%
Common604
41.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a91
 
10.8%
r91
 
10.8%
e71
 
8.4%
y68
 
8.1%
m61
 
7.2%
o51
 
6.1%
t49
 
5.8%
i49
 
5.8%
s42
 
5.0%
n34
 
4.0%
Other values (20)235
27.9%
Common
ValueCountFrequency (%)
'276
45.7%
[90
 
14.9%
]90
 
14.9%
73
 
12.1%
,73
 
12.1%
-2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1446
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'276
19.1%
a91
 
6.3%
r91
 
6.3%
[90
 
6.2%
]90
 
6.2%
73
 
5.0%
,73
 
5.0%
e71
 
4.9%
y68
 
4.7%
m61
 
4.2%
Other values (26)462
32.0%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size848.0 B
Running
53 
Ended
34 
To Be Determined
 
3

Length

Max length16
Median length7
Mean length6.544444444
Min length5

Characters and Unicode

Total characters589
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowEnded
3rd rowEnded
4th rowRunning
5th rowRunning

Common Values

ValueCountFrequency (%)
Running53
58.9%
Ended34
37.8%
To Be Determined3
 
3.3%

Length

2022-05-09T21:04:43.126246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:04:43.220330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
running53
55.2%
ended34
35.4%
to3
 
3.1%
be3
 
3.1%
determined3
 
3.1%

Most occurring characters

ValueCountFrequency (%)
n196
33.3%
d71
 
12.1%
i56
 
9.5%
R53
 
9.0%
u53
 
9.0%
g53
 
9.0%
e46
 
7.8%
E34
 
5.8%
6
 
1.0%
T3
 
0.5%
Other values (6)18
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter487
82.7%
Uppercase Letter96
 
16.3%
Space Separator6
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n196
40.2%
d71
 
14.6%
i56
 
11.5%
u53
 
10.9%
g53
 
10.9%
e46
 
9.4%
o3
 
0.6%
t3
 
0.6%
r3
 
0.6%
m3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
R53
55.2%
E34
35.4%
T3
 
3.1%
B3
 
3.1%
D3
 
3.1%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin583
99.0%
Common6
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n196
33.6%
d71
 
12.2%
i56
 
9.6%
R53
 
9.1%
u53
 
9.1%
g53
 
9.1%
e46
 
7.9%
E34
 
5.8%
T3
 
0.5%
o3
 
0.5%
Other values (5)15
 
2.6%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII589
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n196
33.3%
d71
 
12.1%
i56
 
9.5%
R53
 
9.0%
u53
 
9.0%
g53
 
9.0%
e46
 
7.8%
E34
 
5.8%
6
 
1.0%
T3
 
0.5%
Other values (6)18
 
3.1%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct24
Distinct (%)33.3%
Missing18
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean36.08333333
Minimum3
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:43.298716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.65
Q120
median30
Q345
95-th percentile90
Maximum120
Range117
Interquartile range (IQR)25

Descriptive statistics

Standard deviation24.80047137
Coefficient of variation (CV)0.6873109849
Kurtosis3.932896173
Mean36.08333333
Median Absolute Deviation (MAD)15
Skewness1.749913831
Sum2598
Variance615.0633803
MonotonicityNot monotonic
2022-05-09T21:04:43.393170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4518
20.0%
2014
15.6%
303
 
3.3%
1203
 
3.3%
53
 
3.3%
503
 
3.3%
403
 
3.3%
253
 
3.3%
152
 
2.2%
602
 
2.2%
Other values (14)18
20.0%
(Missing)18
20.0%
ValueCountFrequency (%)
31
 
1.1%
53
 
3.3%
81
 
1.1%
101
 
1.1%
122
 
2.2%
141
 
1.1%
152
 
2.2%
161
 
1.1%
2014
15.6%
231
 
1.1%
ValueCountFrequency (%)
1203
 
3.3%
902
 
2.2%
602
 
2.2%
571
 
1.1%
503
 
3.3%
4518
20.0%
403
 
3.3%
372
 
2.2%
351
 
1.1%
303
 
3.3%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct31
Distinct (%)35.2%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean33.375
Minimum3
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:43.502503image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.7
Q115
median28
Q345
95-th percentile88.95
Maximum120
Range117
Interquartile range (IQR)30

Descriptive statistics

Standard deviation24.70111566
Coefficient of variation (CV)0.7401083344
Kurtosis3.765731211
Mean33.375
Median Absolute Deviation (MAD)14.5
Skewness1.7507541
Sum2937
Variance610.1451149
MonotonicityNot monotonic
2022-05-09T21:04:43.611921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4517
18.9%
1510
 
11.1%
255
 
5.6%
295
 
5.6%
124
 
4.4%
144
 
4.4%
503
 
3.3%
373
 
3.3%
283
 
3.3%
1203
 
3.3%
Other values (21)31
34.4%
ValueCountFrequency (%)
31
 
1.1%
53
3.3%
61
 
1.1%
81
 
1.1%
91
 
1.1%
101
 
1.1%
111
 
1.1%
124
4.4%
131
 
1.1%
144
4.4%
ValueCountFrequency (%)
1203
 
3.3%
902
 
2.2%
871
 
1.1%
602
 
2.2%
591
 
1.1%
571
 
1.1%
503
 
3.3%
4517
18.9%
402
 
2.2%
373
 
3.3%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct51
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size848.0 B
2018-09-01
10 
2020-12-08
2020-11-24
2019-06-21
 
5
2020-11-23
 
4
Other values (46)
56 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters900
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)43.3%

Sample

1st row2019-03-25
2nd row2020-10-13
3rd row2020-11-30
4th row2019-12-17
5th row2020-10-13

Common Values

ValueCountFrequency (%)
2018-09-0110
 
11.1%
2020-12-089
 
10.0%
2020-11-246
 
6.7%
2019-06-215
 
5.6%
2020-11-234
 
4.4%
2020-10-133
 
3.3%
2020-11-173
 
3.3%
2020-12-013
 
3.3%
2020-11-192
 
2.2%
2020-10-202
 
2.2%
Other values (41)43
47.8%

Length

2022-05-09T21:04:43.705877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-09-0110
 
11.1%
2020-12-089
 
10.0%
2020-11-246
 
6.7%
2019-06-215
 
5.6%
2020-11-234
 
4.4%
2020-10-133
 
3.3%
2020-11-173
 
3.3%
2020-12-013
 
3.3%
2020-11-302
 
2.2%
2013-12-242
 
2.2%
Other values (41)43
47.8%

Most occurring characters

ValueCountFrequency (%)
0233
25.9%
2184
20.4%
-180
20.0%
1154
17.1%
945
 
5.0%
833
 
3.7%
325
 
2.8%
716
 
1.8%
412
 
1.3%
510
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number720
80.0%
Dash Punctuation180
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0233
32.4%
2184
25.6%
1154
21.4%
945
 
6.2%
833
 
4.6%
325
 
3.5%
716
 
2.2%
412
 
1.7%
510
 
1.4%
68
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
-180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0233
25.9%
2184
20.4%
-180
20.0%
1154
17.1%
945
 
5.0%
833
 
3.7%
325
 
2.8%
716
 
1.8%
412
 
1.3%
510
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0233
25.9%
2184
20.4%
-180
20.0%
1154
17.1%
945
 
5.0%
833
 
3.7%
325
 
2.8%
716
 
1.8%
412
 
1.3%
510
 
1.1%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct17
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size848.0 B
nan
56 
2021-01-05
2020-12-08
2020-12-30
 
2
2020-12-22
 
2
Other values (12)
15 

Length

Max length10
Median length3
Mean length5.644444444
Min length3

Characters and Unicode

Total characters508
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)10.0%

Sample

1st rownan
2nd row2020-12-31
3rd row2020-12-11
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan56
62.2%
2021-01-058
 
8.9%
2020-12-087
 
7.8%
2020-12-302
 
2.2%
2020-12-222
 
2.2%
2020-12-232
 
2.2%
2020-12-162
 
2.2%
2020-12-152
 
2.2%
2020-12-311
 
1.1%
2020-12-101
 
1.1%
Other values (7)7
 
7.8%

Length

2022-05-09T21:04:43.783974image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan56
62.2%
2021-01-058
 
8.9%
2020-12-087
 
7.8%
2020-12-302
 
2.2%
2020-12-222
 
2.2%
2020-12-232
 
2.2%
2020-12-162
 
2.2%
2020-12-152
 
2.2%
2021-01-061
 
1.1%
2020-12-111
 
1.1%
Other values (7)7
 
7.8%

Most occurring characters

ValueCountFrequency (%)
n112
22.0%
2100
19.7%
086
16.9%
-68
13.4%
157
11.2%
a56
11.0%
510
 
2.0%
88
 
1.6%
35
 
1.0%
63
 
0.6%
Other values (2)3
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number272
53.5%
Lowercase Letter168
33.1%
Dash Punctuation68
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2100
36.8%
086
31.6%
157
21.0%
510
 
3.7%
88
 
2.9%
35
 
1.8%
63
 
1.1%
42
 
0.7%
91
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
n112
66.7%
a56
33.3%
Dash Punctuation
ValueCountFrequency (%)
-68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common340
66.9%
Latin168
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2100
29.4%
086
25.3%
-68
20.0%
157
16.8%
510
 
2.9%
88
 
2.4%
35
 
1.5%
63
 
0.9%
42
 
0.6%
91
 
0.3%
Latin
ValueCountFrequency (%)
n112
66.7%
a56
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n112
22.0%
2100
19.7%
086
16.9%
-68
13.4%
157
11.2%
a56
11.0%
510
 
2.0%
88
 
1.6%
35
 
1.0%
63
 
0.6%
Other values (2)3
 
0.6%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct58
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size848.0 B
https://www.youtube.com/c/WorldWarTwo/playlists?view=50&sort=dd&shelf_id=5
10 
https://v.qq.com/detail/m/mzc00200ur8p8zp.html
nan
https://www.netflix.com/title/80209013
 
5
https://www.tytnetwork.com
 
2
Other values (53)
58 

Length

Max length97
Median length72
Mean length49.17777778
Min length3

Characters and Unicode

Total characters4426
Distinct characters74
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)53.3%

Sample

1st rowhttps://www.vlive.tv/video/121637
2nd rowhttps://premier.one/show/13734
3rd rowhttp://epic-media.ru/project/kotiki
4th rowhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326
5th rowhttps://www.bilibili.com/bangumi/media/md28223064

Common Values

ValueCountFrequency (%)
https://www.youtube.com/c/WorldWarTwo/playlists?view=50&sort=dd&shelf_id=510
 
11.1%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html8
 
8.9%
nan7
 
7.8%
https://www.netflix.com/title/802090135
 
5.6%
https://www.tytnetwork.com2
 
2.2%
https://v.qq.com/detail/m/mzc00200tu76tos.html2
 
2.2%
https://www.iqiyi.com/a_19rrhskr95.html2
 
2.2%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=12
 
2.2%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=2
 
2.2%
https://go.ocs.fr/details/serie/PSCHEYENNEEW01682592
 
2.2%
Other values (48)48
53.3%

Length

2022-05-09T21:04:43.898380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.youtube.com/c/worldwartwo/playlists?view=50&sort=dd&shelf_id=510
 
11.1%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html8
 
8.9%
nan7
 
7.8%
https://www.netflix.com/title/802090135
 
5.6%
https://www.tytnetwork.com2
 
2.2%
https://v.qq.com/detail/m/mzc00200tu76tos.html2
 
2.2%
https://www.iqiyi.com/a_19rrhskr95.html2
 
2.2%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=12
 
2.2%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab2
 
2.2%
https://go.ocs.fr/details/serie/pscheyenneew01682592
 
2.2%
Other values (48)48
53.3%

Most occurring characters

ValueCountFrequency (%)
/358
 
8.1%
t348
 
7.9%
s227
 
5.1%
o217
 
4.9%
w188
 
4.2%
e182
 
4.1%
.174
 
3.9%
i151
 
3.4%
l149
 
3.4%
p147
 
3.3%
Other values (64)2285
51.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2903
65.6%
Other Punctuation723
 
16.3%
Decimal Number396
 
8.9%
Uppercase Letter282
 
6.4%
Math Symbol51
 
1.2%
Dash Punctuation46
 
1.0%
Connector Punctuation25
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t348
 
12.0%
s227
 
7.8%
o217
 
7.5%
w188
 
6.5%
e182
 
6.3%
i151
 
5.2%
l149
 
5.1%
p147
 
5.1%
h142
 
4.9%
m133
 
4.6%
Other values (16)1019
35.1%
Uppercase Letter
ValueCountFrequency (%)
E31
 
11.0%
W31
 
11.0%
T19
 
6.7%
A19
 
6.7%
N18
 
6.4%
P17
 
6.0%
L14
 
5.0%
C14
 
5.0%
F13
 
4.6%
B12
 
4.3%
Other values (16)94
33.3%
Decimal Number
ValueCountFrequency (%)
087
22.0%
851
12.9%
544
11.1%
243
10.9%
937
9.3%
131
 
7.8%
327
 
6.8%
427
 
6.8%
626
 
6.6%
723
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/358
49.5%
.174
24.1%
:83
 
11.5%
%57
 
7.9%
&25
 
3.5%
?24
 
3.3%
!1
 
0.1%
#1
 
0.1%
Math Symbol
ValueCountFrequency (%)
=49
96.1%
+2
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
-46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3185
72.0%
Common1241
 
28.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t348
 
10.9%
s227
 
7.1%
o217
 
6.8%
w188
 
5.9%
e182
 
5.7%
i151
 
4.7%
l149
 
4.7%
p147
 
4.6%
h142
 
4.5%
m133
 
4.2%
Other values (42)1301
40.8%
Common
ValueCountFrequency (%)
/358
28.8%
.174
14.0%
087
 
7.0%
:83
 
6.7%
%57
 
4.6%
851
 
4.1%
=49
 
3.9%
-46
 
3.7%
544
 
3.5%
243
 
3.5%
Other values (12)249
20.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/358
 
8.1%
t348
 
7.9%
s227
 
5.1%
o217
 
4.9%
w188
 
4.2%
e182
 
4.1%
.174
 
3.9%
i151
 
3.4%
l149
 
3.4%
p147
 
3.3%
Other values (64)2285
51.6%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct42
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.21111111
Minimum0
Maximum92
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:44.102309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.45
Q118
median28
Q370.75
95-th percentile91.55
Maximum92
Range92
Interquartile range (IQR)52.75

Descriptive statistics

Standard deviation28.93250357
Coefficient of variation (CV)0.7378649253
Kurtosis-1.174581447
Mean39.21111111
Median Absolute Deviation (MAD)14
Skewness0.5530556675
Sum3529
Variance837.0897628
MonotonicityNot monotonic
2022-05-09T21:04:44.196667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7911
 
12.2%
1810
 
11.1%
155
 
5.6%
925
 
5.6%
225
 
5.6%
254
 
4.4%
143
 
3.3%
323
 
3.3%
293
 
3.3%
22
 
2.2%
Other values (32)39
43.3%
ValueCountFrequency (%)
01
 
1.1%
12
2.2%
22
2.2%
32
2.2%
61
 
1.1%
82
2.2%
101
 
1.1%
111
 
1.1%
131
 
1.1%
143
3.3%
ValueCountFrequency (%)
925
5.6%
911
 
1.1%
811
 
1.1%
7911
12.2%
772
 
2.2%
761
 
1.1%
751
 
1.1%
711
 
1.1%
701
 
1.1%
661
 
1.1%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size848.0 B
nan
89 
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}
 
1

Length

Max length57
Median length3
Mean length3.6
Min length3

Characters and Unicode

Total characters324
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan89
98.9%
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}1
 
1.1%

Length

2022-05-09T21:04:44.290417image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:04:44.384421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan89
93.7%
name1
 
1.1%
japan1
 
1.1%
code1
 
1.1%
jp1
 
1.1%
timezone1
 
1.1%
asia/tokyo1
 
1.1%

Most occurring characters

ValueCountFrequency (%)
n181
55.9%
a93
28.7%
'12
 
3.7%
5
 
1.5%
e4
 
1.2%
o4
 
1.2%
:3
 
0.9%
J2
 
0.6%
,2
 
0.6%
m2
 
0.6%
Other values (15)16
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter294
90.7%
Other Punctuation18
 
5.6%
Space Separator5
 
1.5%
Uppercase Letter5
 
1.5%
Open Punctuation1
 
0.3%
Close Punctuation1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n181
61.6%
a93
31.6%
e4
 
1.4%
o4
 
1.4%
m2
 
0.7%
i2
 
0.7%
y1
 
0.3%
k1
 
0.3%
s1
 
0.3%
t1
 
0.3%
Other values (4)4
 
1.4%
Other Punctuation
ValueCountFrequency (%)
'12
66.7%
:3
 
16.7%
,2
 
11.1%
/1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
J2
40.0%
A1
20.0%
T1
20.0%
P1
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
{1
100.0%
Close Punctuation
ValueCountFrequency (%)
}1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin299
92.3%
Common25
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n181
60.5%
a93
31.1%
e4
 
1.3%
o4
 
1.3%
J2
 
0.7%
m2
 
0.7%
i2
 
0.7%
A1
 
0.3%
y1
 
0.3%
k1
 
0.3%
Other values (8)8
 
2.7%
Common
ValueCountFrequency (%)
'12
48.0%
5
20.0%
:3
 
12.0%
,2
 
8.0%
/1
 
4.0%
{1
 
4.0%
}1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n181
55.9%
a93
28.7%
'12
 
3.7%
5
 
1.5%
e4
 
1.2%
o4
 
1.2%
:3
 
0.9%
J2
 
0.6%
,2
 
0.6%
m2
 
0.6%
Other values (15)16
 
4.9%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct56
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size848.0 B
<p>World War Two dives into the history of one of the most devastating wars in human history. Indy Neidell, Spartacus Olsson and their team of dedicated historians cover the events of World War Two week by week in realtime. Additionally, we take an in-depth look at the war against humanity, key figures in all camps, military hardware, impact on culture, military strategies and life at the home fronts or under occupation.</p>
10 
nan
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>
<p>Stand-up phenom Gabriel Iglesias stars in this series as a good-natured high school history teacher who tries to help gifted misfit kids.</p>
 
5
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>
 
2
Other values (51)
56 

Length

Max length919
Median length437
Mean length273.8555556
Min length3

Characters and Unicode

Total characters24647
Distinct characters85
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)51.1%

Sample

1st row<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>
3rd rownan
4th row<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
5th row<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>

Common Values

ValueCountFrequency (%)
<p>World War Two dives into the history of one of the most devastating wars in human history. Indy Neidell, Spartacus Olsson and their team of dedicated historians cover the events of World War Two week by week in realtime. Additionally, we take an in-depth look at the war against humanity, key figures in all camps, military hardware, impact on culture, military strategies and life at the home fronts or under occupation.</p>10
 
11.1%
nan9
 
10.0%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>8
 
8.9%
<p>Stand-up phenom Gabriel Iglesias stars in this series as a good-natured high school history teacher who tries to help gifted misfit kids.</p>5
 
5.6%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>2
 
2.2%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>2
 
2.2%
<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>2
 
2.2%
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>2
 
2.2%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>2
 
2.2%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>2
 
2.2%
Other values (46)46
51.1%

Length

2022-05-09T21:04:44.478779image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the214
 
5.3%
of133
 
3.3%
and125
 
3.1%
a118
 
2.9%
in87
 
2.2%
to82
 
2.0%
with57
 
1.4%
war35
 
0.9%
is34
 
0.8%
an31
 
0.8%
Other values (1235)3105
77.2%

Most occurring characters

ValueCountFrequency (%)
3920
15.9%
e2337
 
9.5%
t1608
 
6.5%
a1507
 
6.1%
i1476
 
6.0%
n1395
 
5.7%
o1389
 
5.6%
s1235
 
5.0%
r1187
 
4.8%
h900
 
3.7%
Other values (75)7693
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter18801
76.3%
Space Separator3931
 
15.9%
Uppercase Letter704
 
2.9%
Other Punctuation664
 
2.7%
Math Symbol460
 
1.9%
Dash Punctuation56
 
0.2%
Decimal Number25
 
0.1%
Close Punctuation2
 
< 0.1%
Open Punctuation2
 
< 0.1%
Initial Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e2337
12.4%
t1608
 
8.6%
a1507
 
8.0%
i1476
 
7.9%
n1395
 
7.4%
o1389
 
7.4%
s1235
 
6.6%
r1187
 
6.3%
h900
 
4.8%
d763
 
4.1%
Other values (21)5004
26.6%
Uppercase Letter
ValueCountFrequency (%)
T83
 
11.8%
S70
 
9.9%
W60
 
8.5%
A60
 
8.5%
Y36
 
5.1%
I36
 
5.1%
C35
 
5.0%
H28
 
4.0%
N27
 
3.8%
D25
 
3.6%
Other values (17)244
34.7%
Other Punctuation
ValueCountFrequency (%)
,275
41.4%
.193
29.1%
/119
17.9%
'40
 
6.0%
"9
 
1.4%
!9
 
1.4%
?8
 
1.2%
:7
 
1.1%
;3
 
0.5%
1
 
0.2%
Decimal Number
ValueCountFrequency (%)
09
36.0%
16
24.0%
26
24.0%
32
 
8.0%
81
 
4.0%
51
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
-44
78.6%
9
 
16.1%
3
 
5.4%
Space Separator
ValueCountFrequency (%)
3920
99.7%
 11
 
0.3%
Math Symbol
ValueCountFrequency (%)
<230
50.0%
>230
50.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin19505
79.1%
Common5142
 
20.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e2337
12.0%
t1608
 
8.2%
a1507
 
7.7%
i1476
 
7.6%
n1395
 
7.2%
o1389
 
7.1%
s1235
 
6.3%
r1187
 
6.1%
h900
 
4.6%
d763
 
3.9%
Other values (48)5708
29.3%
Common
ValueCountFrequency (%)
3920
76.2%
,275
 
5.3%
<230
 
4.5%
>230
 
4.5%
.193
 
3.8%
/119
 
2.3%
-44
 
0.9%
'40
 
0.8%
 11
 
0.2%
"9
 
0.2%
Other values (17)71
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII24614
99.9%
None19
 
0.1%
Punctuation14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3920
15.9%
e2337
 
9.5%
t1608
 
6.5%
a1507
 
6.1%
i1476
 
6.0%
n1395
 
5.7%
o1389
 
5.6%
s1235
 
5.0%
r1187
 
4.8%
h900
 
3.7%
Other values (64)7660
31.1%
None
ValueCountFrequency (%)
 11
57.9%
ø2
 
10.5%
ü2
 
10.5%
ö1
 
5.3%
å1
 
5.3%
ş1
 
5.3%
Ç1
 
5.3%
Punctuation
ValueCountFrequency (%)
9
64.3%
3
 
21.4%
1
 
7.1%
1
 
7.1%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct63
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1635647572
Minimum1604587119
Maximum1652133529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2022-05-09T21:04:44.605276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1604587119
5-th percentile1607984317
Q11613811735
median1642331550
Q31650807392
95-th percentile1652080636
Maximum1652133529
Range47546410
Interquartile range (IQR)36995657

Descriptive statistics

Standard deviation17059529.15
Coefficient of variation (CV)0.01042983186
Kurtosis-1.268504289
Mean1635647572
Median Absolute Deviation (MAD)9350739.5
Skewness-0.6410105056
Sum1.472082815 × 1011
Variance2.910275349 × 1014
MonotonicityNot monotonic
2022-05-09T21:04:44.714707image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165208063610
 
11.1%
16128425838
 
8.9%
16252804555
 
5.6%
16446505822
 
2.2%
16095351412
 
2.2%
16064181642
 
2.2%
16508264802
 
2.2%
16076979652
 
2.2%
16481900582
 
2.2%
16090607262
 
2.2%
Other values (53)53
58.9%
ValueCountFrequency (%)
16045871191
1.1%
16064181642
2.2%
16076979652
2.2%
16083343021
1.1%
16083529671
1.1%
16084062791
1.1%
16084990071
1.1%
16090607262
2.2%
16095351412
2.2%
16113514451
1.1%
ValueCountFrequency (%)
16521335291
 
1.1%
165208063610
11.1%
16519332091
 
1.1%
16518386471
 
1.1%
16517491651
 
1.1%
16516154151
 
1.1%
16515911241
 
1.1%
16512614161
 
1.1%
16512534591
 
1.1%
16512532501
 
1.1%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/1998683
 
1
https://api.tvmaze.com/episodes/1998681
 
1
https://api.tvmaze.com/episodes/1998680
 
1
https://api.tvmaze.com/episodes/1998679
 
1
Other values (85)
85 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters3510
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
1.1%
https://api.tvmaze.com/episodes/19986831
 
1.1%
https://api.tvmaze.com/episodes/19986811
 
1.1%
https://api.tvmaze.com/episodes/19986801
 
1.1%
https://api.tvmaze.com/episodes/19986791
 
1.1%
https://api.tvmaze.com/episodes/19986781
 
1.1%
https://api.tvmaze.com/episodes/19986761
 
1.1%
https://api.tvmaze.com/episodes/19986751
 
1.1%
https://api.tvmaze.com/episodes/19986741
 
1.1%
https://api.tvmaze.com/episodes/19986731
 
1.1%
Other values (80)80
88.9%

Length

2022-05-09T21:04:44.808423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
1.1%
https://api.tvmaze.com/episodes/19986111
 
1.1%
https://api.tvmaze.com/episodes/19954051
 
1.1%
https://api.tvmaze.com/episodes/20077601
 
1.1%
https://api.tvmaze.com/episodes/19857891
 
1.1%
https://api.tvmaze.com/episodes/20396221
 
1.1%
https://api.tvmaze.com/episodes/20396231
 
1.1%
https://api.tvmaze.com/episodes/23244271
 
1.1%
https://api.tvmaze.com/episodes/23244281
 
1.1%
https://api.tvmaze.com/episodes/23244291
 
1.1%
Other values (80)80
88.9%

Most occurring characters

ValueCountFrequency (%)
/360
 
10.3%
p270
 
7.7%
s270
 
7.7%
e270
 
7.7%
t270
 
7.7%
o180
 
5.1%
a180
 
5.1%
i180
 
5.1%
.180
 
5.1%
m180
 
5.1%
Other values (16)1170
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2250
64.1%
Other Punctuation630
 
17.9%
Decimal Number630
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p270
12.0%
s270
12.0%
e270
12.0%
t270
12.0%
o180
8.0%
a180
8.0%
i180
8.0%
m180
8.0%
h90
 
4.0%
d90
 
4.0%
Other values (3)270
12.0%
Decimal Number
ValueCountFrequency (%)
9112
17.8%
294
14.9%
184
13.3%
059
9.4%
358
9.2%
856
8.9%
446
7.3%
644
 
7.0%
539
 
6.2%
738
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/360
57.1%
.180
28.6%
:90
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2250
64.1%
Common1260
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/360
28.6%
.180
14.3%
9112
 
8.9%
294
 
7.5%
:90
 
7.1%
184
 
6.7%
059
 
4.7%
358
 
4.6%
856
 
4.4%
446
 
3.7%
Other values (3)121
 
9.6%
Latin
ValueCountFrequency (%)
p270
12.0%
s270
12.0%
e270
12.0%
t270
12.0%
o180
8.0%
a180
8.0%
i180
8.0%
m180
8.0%
h90
 
4.0%
d90
 
4.0%
Other values (3)270
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/360
 
10.3%
p270
 
7.7%
s270
 
7.7%
e270
 
7.7%
t270
 
7.7%
o180
 
5.1%
a180
 
5.1%
i180
 
5.1%
.180
 
5.1%
m180
 
5.1%
Other values (16)1170
33.3%

Interactions

2022-05-09T21:04:37.024319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:17.446294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:22.323936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:24.290188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:26.167169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:28.033951image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:31.427918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:33.090704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:35.008584image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:37.783204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:18.847287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:23.099819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:24.949750image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:26.906444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:29.061834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.048307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:33.822568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:35.789179image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:37.876989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:19.244298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:23.197175image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:25.049473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:27.006504image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:29.335460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.145327image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:33.927191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:35.888306image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:37.967329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:19.561516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:23.291263image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:25.246924image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:27.095174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:29.581460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.345678image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:34.033893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:36.077181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:38.058580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:19.910845image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:23.391347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:25.349580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:27.191213image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:29.833438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.438833image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:34.134306image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:36.164717image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:38.534510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:20.688625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:23.900815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:25.803800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:27.658365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:30.473584image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.715997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:34.635515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:36.661331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:38.631151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:21.073032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:23.998221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:25.893694image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:27.756742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:30.640831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.808876image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:34.733713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:36.760207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:38.723080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:21.555812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:24.094715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:25.985853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:27.850489image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:30.903352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.901405image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:34.827627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:36.848733image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:38.816130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:21.937171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:24.190794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:26.074749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:27.939238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:31.165602image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:32.999232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:34.915250image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:04:36.940161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:04:44.886562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:04:45.020297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:04:45.161192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:04:45.302112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:04:45.522228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:04:38.997538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:04:39.677590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:04:39.975072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:04:40.116776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
01988857https://www.tvmaze.com/episodes/1988857/sim-for-you-4x19-chanyeols-episode-19Chanyeol's Episode 194.019.0regular2020-12-0806:002020-12-07T21:00:00+00:0016.0None<p><b>#Camping Decoration #Did You Come Sehun?</b></p>41648https://www.tvmaze.com/shows/41648/sim-for-youSim for YouRealityKorean[]Running16.016.02019-03-25nanhttps://www.vlive.tv/video/12163771.0nan<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>1.608499e+09https://api.tvmaze.com/episodes/1977902
12007748https://www.tvmaze.com/episodes/2007748/stand-up-autsajd-1x08-vana-ilin-malenkij-princВаня Ильин "Маленький принц"1.08.0regular2020-12-0812:002020-12-08T00:00:00+00:0024.0Nonenan51065https://www.tvmaze.com/shows/51065/stand-up-autsajdStand Up АутсайдVarietyRussian[]Ended40.028.02020-10-132020-12-31https://premier.one/show/137343.0nan<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>1.616719e+09https://api.tvmaze.com/episodes/2015818
21986870https://www.tvmaze.com/episodes/1986870/kotiki-1x07-seria-7Серия 71.07.0regular2020-12-08nan2020-12-08T00:00:00+00:0013.0Nonenan52198https://www.tvmaze.com/shows/52198/kotikiКотикиScriptedRussian['Comedy']Ended12.012.02020-11-302020-12-11http://epic-media.ru/project/kotiki15.0nannan1.637555e+09https://api.tvmaze.com/episodes/1964000
32008028https://www.tvmaze.com/episodes/2008028/lab-s-antonom-belaevym-2x07-lev-lesenkoЛев Лещенко2.07.0regular2020-12-08nan2020-12-08T00:00:00+00:0026.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737207.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737207.jpg'}nan52933https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevymLAB с Антоном БеляевымDocumentaryRussian['Music']Running26.025.02019-12-17nanhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c32615.0nan<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>1.641808e+09https://api.tvmaze.com/episodes/1995405
41964566https://www.tvmaze.com/episodes/1964566/core-sense-1x10-episode-10Episode 101.010.0regular2020-12-0810:002020-12-08T02:00:00+00:0024.0Nonenan51336https://www.tvmaze.com/shows/51336/core-senseCore SenseAnimationChinese['Action', 'Anime', 'Science-Fiction']Running24.024.02020-10-13nanhttps://www.bilibili.com/bangumi/media/md2822306437.0nan<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>1.604587e+09https://api.tvmaze.com/episodes/2007760
52052507https://www.tvmaze.com/episodes/2052507/wu-shen-zhu-zai-1x82-episode-82Episode 821.082.0regular2020-12-0810:002020-12-08T02:00:00+00:008.0Nonenan54033https://www.tvmaze.com/shows/54033/wu-shen-zhu-zaiWu Shen Zhu ZaiAnimationChinese['Action', 'Adventure', 'Anime', 'Fantasy']Running8.08.02020-03-08nanhttps://v.qq.com/detail/m/7q544xyrava3vxf.html76.0nan<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>1.649423e+09https://api.tvmaze.com/episodes/1985789
62096295https://www.tvmaze.com/episodes/2096295/no-turning-back-romance-1x01-111.01.0regular2020-12-08nan2020-12-08T03:00:00+00:0012.0Nonenan55002https://www.tvmaze.com/shows/55002/no-turning-back-romanceNo Turning Back RomanceScriptedKorean[]EndedNaN12.02020-12-082021-01-06nan20.0nan<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>1.621617e+09https://api.tvmaze.com/episodes/2039622
71973544https://www.tvmaze.com/episodes/1973544/please-wait-brother-1x23-episode-23Episode 231.023.0regular2020-12-0812:002020-12-08T04:00:00+00:0037.0Nonenan52038https://www.tvmaze.com/shows/52038/please-wait-brotherPlease Wait, BrotherScriptedChinese['Comedy']Ended37.037.02020-11-172020-12-08nan14.0nannan1.607698e+09https://api.tvmaze.com/episodes/2039623
81973545https://www.tvmaze.com/episodes/1973545/please-wait-brother-1x24-episode-24Episode 241.024.0regular2020-12-0812:002020-12-08T04:00:00+00:0037.0Nonenan52038https://www.tvmaze.com/shows/52038/please-wait-brotherPlease Wait, BrotherScriptedChinese['Comedy']Ended37.037.02020-11-172020-12-08nan14.0nannan1.607698e+09https://api.tvmaze.com/episodes/2324427
92082173https://www.tvmaze.com/episodes/2082173/ling-jian-zun-4x30-di130ji第130集4.030.0regular2020-12-08nan2020-12-08T04:00:00+00:0010.0Nonenan55016https://www.tvmaze.com/shows/55016/ling-jian-zunLing Jian ZunAnimationChinese['Anime']Running10.010.02019-01-15nanhttps://v.qq.com/x/cover/2w2legt0g8z26al.html45.0nan<p>The strong man was attacked and returned to his youth. He became the weakest waste young lord. He will never let go of the enemy of the previous life in this life and must make up the regret of the previous life in this life! By the time the Spirit Sword is powerful, the protagonist will be supreme in the three worlds between heaven and earth! If there is someone doesn't obey him, he will kill him with the sword!</p><p><br /> </p>1.640703e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
801991530https://www.tvmaze.com/episodes/1991530/conversa-com-bial-4x147-antonio-fagundesAntônio Fagundes4.0147.0regular2020-12-08nan2020-12-08T14:00:00+00:00NaNNonenan36813https://www.tvmaze.com/shows/36813/conversa-com-bialConversa com BialTalk ShowPortuguese[]RunningNaN40.02017-05-03nanhttps://globoplay.globo.com/conversa-com-bial/p/10086/1.0nannan1.648342e+09https://api.tvmaze.com/episodes/1996399
812311018https://www.tvmaze.com/episodes/2311018/toki-wo-kakeru-bando-1x08-chahhanryo-yukishioritohkoCHAHHAN&RYO YUKI&SHIORI&TOHKO1.08.0regular2020-12-0800:252020-12-08T15:25:00+00:0026.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009866.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009866.jpg'}<p>After listening to the original song of 'No. 77', 'Yuki Ebana' was convinced that it was a song she sang for herself, and headed to the place where she used to live on the street, where she sang 'No. 77'. Discover the boy. The song 'No. 77' was made with the boy's singing in mind, Yuki.<br />Yuki tells her boy that their debut song is 'No. 77' made by the boy, and she takes the boy to meet her office president 'Yuichi Yanagishita'. The boy and Yanagishita will have a discussion together.<br />She returns and she tells the story to 'Ryo', 'Shiori Kato' and 'Hitoko Murakami'. Hitoko wonders if the boy is destined for Yuki. Ryo tells us that he wants to see you guys debut and play an active part as soon as possible, even if it's a human song.<br />However, the boy did not respond to Yanagishita's persuasion, and he refused to let him use his song. Ryo appeared to Yanagishita who was in trouble and said, 'Leave him to me.'</p>61530https://www.tvmaze.com/shows/61530/toki-wo-kakeru-bandoToki wo Kakeru BandoScriptedJapanese['Comedy', 'Music', 'Science-Fiction']Ended27.026.02020-10-202020-12-22https://www.fujitv.co.jp/tokikake/0.0{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}<p>A story about Ryo, a mysterious and self-proclaimed music producer from the future, producing a girl band of three girls and leading them to stardom. A comical and tempo conversational drama, and various trials to produce the youth of young people who play music with comedy touch.</p>1.649705e+09https://api.tvmaze.com/episodes/2042003
822165006https://www.tvmaze.com/episodes/2165006/all-about-android-2020-12-08-google-killed-what-nowGoogle Killed What Now?2020.049.0regular2020-12-08nan2020-12-08T17:00:00+00:0090.0Nonenan17633https://www.tvmaze.com/shows/17633/all-about-androidAll About AndroidNewsEnglish[]Running90.090.02011-03-29nanhttps://twit.tv/shows/all-about-android30.0nan<p><b>All About Android </b>delivers everything you want to know about Android each week -- the biggest news, freshest hardware, best apps and geekiest how-to's -- with Android enthusiasts Jason Howell, Florence Ion, Ron Richards, and a variety of special guests along the way.</p>1.650312e+09https://api.tvmaze.com/episodes/1996689
831967349https://www.tvmaze.com/episodes/1967349/a-teacher-1x07-episode-7Episode 71.07.0regular2020-12-08nan2020-12-08T17:00:00+00:0030.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717675.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717675.jpg'}<p>Eric tries to move on, but fallout from the affair continues to resurface in unexpected ways.</p>38339https://www.tvmaze.com/shows/38339/a-teacherA TeacherScriptedEnglish['Drama']EndedNaN27.02020-11-102020-12-29https://www.hulu.com/series/a-teacher-1c871218-05b1-4c66-a22f-260b2cb9bbf991.0nan<p><b>A Teacher</b> examines the complexities and consequences of an illegal relationship between a female teacher, Claire and her male high school student, Eric. Dissatisfied in their own lives, Claire and Eric discover an undeniable escape in each other, but their relationship accelerates faster than anticipated and the permanent damage becomes impossible to ignore.</p>1.637345e+09https://api.tvmaze.com/episodes/1950703
841982592https://www.tvmaze.com/episodes/1982592/tooning-out-the-news-1x109-big-news"Big News"1.0109.0regular2020-12-08nan2020-12-08T17:00:00+00:007.0None<p>Big News calls Rudy Giuliani to wish him a speedy recovery while Pulitzer-winning journalist Clarence Page joins the show to discuss the Covid crisis and Trump's post-presidency plans. </p>45812https://www.tvmaze.com/shows/45812/tooning-out-the-newsTooning Out the NewsAnimationEnglish['Comedy']RunningNaN13.02020-04-07nanhttps://www.paramountplus.com/shows/tooning-out-the-news/43.0nan<p><b>Tooning Out the News</b> will provide short daily segments leading up to a weekly full episodes featuring a cast of animated characters mocking news of the day, and interviewing real-world guests and newsmakers.</p>1.636748e+09https://api.tvmaze.com/episodes/2050241
851979394https://www.tvmaze.com/episodes/1979394/i-was-a-teenage-felon-1x10-have-drugs-will-travelHave Drugs, Will Travel1.010.0regular2020-12-08nan2020-12-08T17:00:00+00:0060.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/359/897952.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/359/897952.jpg'}<p>At age 17, Seth was living a rock star life while supplying 15 colleges in 5 different states, with massive amounts of acid and weed until the US Marshalls set their sites on him.</p>50661https://www.tvmaze.com/shows/50661/i-was-a-teenage-felonI Was a Teenage FelonDocumentaryEnglish['Crime']Running60.060.02020-09-22nanhttps://video.vice.com/en_us/show/i-was-a-teenage-felon41.0nan<p>Former criminals tell the true tales of their rollercoaster ride from average American kids to wildly successful outlaws.</p>1.637763e+09https://api.tvmaze.com/episodes/1970536
861960032https://www.tvmaze.com/episodes/1960032/goede-tijden-slechte-tijden-31x58-aflevering-6313Aflevering 631331.058.0regular2020-12-0820:002020-12-08T19:00:00+00:0023.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716333.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716333.jpg'}nan2504https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijdenGoede Tijden, Slechte TijdenScriptedDutch['Drama', 'Romance']Running23.025.01990-10-01nanhttp://gtst.nl/#!/77.0nannan1.651839e+09https://api.tvmaze.com/episodes/2005420
871976931https://www.tvmaze.com/episodes/1976931/cheyenne-et-lola-1x05-a-la-vie-a-la-mortÀ la vie à la mort1.05.0regular2020-12-0820:402020-12-08T19:40:00+00:0050.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724605.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724605.jpg'}<p>Le mari de Cheyenne, Joël Barden, s'est évadé de prison. Il refuse de partir en cavale sans elle avec la BRB aux trousses.</p>50106https://www.tvmaze.com/shows/50106/cheyenne-et-lolaCheyenne et LolaScriptedFrench['Drama', 'Comedy', 'Crime']Running50.050.02020-11-24nanhttps://go.ocs.fr/details/serie/PSCHEYENNEEW016825940.0nan<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>1.644651e+09https://api.tvmaze.com/episodes/1985483
881976932https://www.tvmaze.com/episodes/1976932/cheyenne-et-lola-1x06-dancing-queenDancing Queen1.06.0regular2020-12-0820:402020-12-08T19:40:00+00:0050.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724606.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724606.jpg'}<p>Menacée par Lola qui lui en veut d'avoir trahi Cheyenne, Rachida sort un atout de dernière minute de sa manche.</p>50106https://www.tvmaze.com/shows/50106/cheyenne-et-lolaCheyenne et LolaScriptedFrench['Drama', 'Comedy', 'Crime']Running50.050.02020-11-24nanhttps://go.ocs.fr/details/serie/PSCHEYENNEEW016825940.0nan<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>1.644651e+09https://api.tvmaze.com/episodes/1985484
891983437https://www.tvmaze.com/episodes/1983437/chicken-girls-7x14-regionalsRegionals7.014.0regular2020-12-0815:002020-12-08T20:00:00+00:0016.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/369/923710.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/369/923710.jpg'}<p>Tempers flare as the A Team and Millwood face off at Regionals and the boys have an eye-opening camping trip that has everyone choosing sides. </p>32087https://www.tvmaze.com/shows/32087/chicken-girlsChicken GirlsScriptedEnglish['Drama', 'Children', 'Music']RunningNaN14.02017-09-05nanhttps://www.youtube.com/playlist?list=PLVewHiZp3_LPhqzbcZFmS3iuDm9HymTsy81.0nan<p>Rhyme and her friends — known by their 'ship name, "The Chicken Girls" — have been dancing together forever. But this year, everything's changing...</p>1.650395e+09https://api.tvmaze.com/episodes/1988405